Principles Guiding the Practice
Structure before solutions; how problems are framed determines outcomes.
Minimalism as discipline; removing what doesn’t add value.
Mathematical thinking applied carefully in real, messy contexts.
A clear internal standard for what “great” looks like.
If you’re interested in the bridge between behavioural economics and investment valuation—how real decisions under uncertainty can diverge from “textbook” valuation—this paper is one example of our work in that space. It’s a research contribution that explores how valuation can better reflect how decisions are actually made.
Investment valuation often assumes there is one “correct” answer based on probabilities and discounting.
In real high‑stakes decisions, people also judge outcomes relative to a baseline (reference point), feel losses more strongly than gains (loss aversion), and vary in their comfort with uncertainty (risk attitude).
If valuation ignores these human elements, the “best” model on paper can produce numbers that decision‑makers won’t trust or act on.
That gap can lead to mispricing flexibility and risk‑sharing features, and ultimately weaker investment choices.
The practical move is to make risk preferences explicit—discussable and transparent—rather than hiding them inside a vague risk premium or a discount‑rate guess.
Then aim for a valuation that is defensible in context: analytically grounded, clear about assumptions, and appropriate for the decision environment.
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